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Genetic Algorithms and Applications for Stock Trading Optimization (Advances in Computational Intelligence and Robotics) - Hardcover

 
9781799841050: Genetic Algorithms and Applications for Stock Trading Optimization (Advances in Computational Intelligence and Robotics)
  • PublisherBusiness Science Reference
  • Publication date2021
  • ISBN 10 1799841057
  • ISBN 13 9781799841050
  • BindingHardcover
  • LanguageEnglish
  • Number of pages315

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9781799870777: Genetic Algorithms and Applications for Stock Trading Optimization

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ISBN 10:  1799870774 ISBN 13:  9781799870777
Publisher: Business Science Reference, 2021
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Kapoor, Vivek; Dey, Shubhamoy
Published by Engineering Science Reference, 2021
ISBN 10: 1799841057 ISBN 13: 9781799841050
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Vivek Kapoor
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Kapoor, Vivek; Dey, Shubhamoy
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Condition: New. A complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. The book covers the functions of genetic algorithms internally, computer implementation of ps. Seller Inventory # 490918668

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Hardcover. Condition: Brand New. 262 pages. 10.00x7.00x10.00 inches. In Stock. Seller Inventory # x-1799841057

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Vivek Kapoor
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science. Seller Inventory # 9781799841050

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